st13 v0.9.6 🐉

To install latest version of st13 Python package for trend analysis

pip3 install st13 --upgrade

To analyse a financial asset run it with the following, where SYMBOL is the asset symbol on Yahoo Finance. If SYMBOL is not given, MSFT will be used for demo, since Microsoft owns GitHub where this code lives.

python3 -m st13 SYMBOL

The package works by identifying clusters of weekly closing prices that are statistically significant. The rationale is if price has moved above a key level, the bias is bullish and if price has moved below a key level, the bias is bearish. Because the market is moving away from a key price level. Naturally, there can be whipsaws around key levels.

More on how this project came about and commentary on MSFT sample chart at this LinkedIn post. Further examples at this LinkedIn newsletter where I applied st13 package to out-of-sample financial assets not used during its development, namely BTCUSD, KC1!, USDJPY, BYND, KOSPI. Its views look reasonable to me.

API Mode 🤖

You can invoke st13 from your Python code and use the outputs accordingly

>>> from st13 import get_trend

>>> get_trend() # if not provided, the default symbol is MSFT
('BULLISH', np.float64(506.05999755859375), np.float64(491.8847961425781), [np.float64(491.8847961425781), np.float64(408.3346252441406), np.float64(368.8730163574219), np.float64(319.2364196777344), np.float64(286.98883056640625), np.float64(241.458740234375), np.float64(218.7037811279297), np.float64(198.009033203125)])

>>> trend_bias, latest_price, key_line, lines_list = get_trend('AAPL')
>>> trend_bias
'BEARISH'
>>> latest_price
np.float64(308.260009765625)
>>> key_line
np.float64(308.6438293457031)
>>> lines_list
[np.float64(308.6438293457031), np.float64(264.1086730957031), np.float64(217.7839813232422), np.float64(187.8817138671875), np.float64(168.6041717529297), np.float64(145.42784118652344), np.float64(121.35916900634766), np.float64(105.50035095214844)]